Machine learning (ML) has transformed the financial industry by enabling advanced
applications such as credit scoring, fraud detection, and market forecasting. At the core of …

Real-life decisions often require individuals to make inferences based upon a large number
of possible predictive features, but only limited observations. These so called ill-posed …

Abstract Research Summary This study investigates the relationships between consumer
income, consumer education, and firms' propensities to span multiple market categories …

Understanding the spatio‐temporal patterns of the coronavirus disease 2019 (COVID‐19) is
essential to construct public health interventions. Spatially referenced data can provide …

Consumer dispersion analysis divides aggregate markets into smaller geographic units that
marketers can target with their promotional mix. However, dispersion patterns are not always …

This article describes the characteristics of big data and Bayesian modeling that
complement each other. Performing data analysis and developing analytical models on big …